Nachiket Deo
Automotive Engineering · 2018
A researcher in the Science corpus: 3 papers; trusts 53 researchers and is trusted by 46 researchers here, as inferred from the citation graph.
Subfields
- Automotive Engineering — 21 citations into it; #61 of 3,081 by trust here, #1,222 by citations
- Computer Vision and Pattern Recognition — 13 citations into it
- Artificial Intelligence — 12 citations into it; #9,670 of 35,345 by trust here, #19,439 by citations
- Building and Construction — 7 citations into it; #225 of 2,909 by trust here, #1,194 by citations
- Control and Systems Engineering — 5 citations into it; #1,695 of 8,257 by trust here, #3,682 by citations
Whom Nachiket Deo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Graves
- Christian Laugier
- Jimmy Ba
- Alex Kuefler
- Mohammad Bahram
- Alexandre Alahi
- Namhoon Lee
- Kyunghyun Cho
- Geoffrey E. Hinton
Who trusts Nachiket Deo overall
- Kaouther Messaoud
- You Li
- Yanjun Huang
- Xin Li
- Tianyang Zhao
- Sajjad Mozaffari
- Thibault Buhet
- Mohan Manubhai Trivedi
- Rohan Chandra
- Tim Salzmann
Papers from Nachiket Deo's perspective
Ordered by how strongly the researchers Nachiket Deo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Multi-Modal Trajectory Prediction of Surrounding Vehicles with Maneuver based LSTMs (2018) — 475 citations
- How Would Surround Vehicles Move? A Unified Framework for Maneuver Classification and Motion Prediction (2018) — 336 citations
- Convolutional Social Pooling for Vehicle Trajectory Prediction (2018) — 1,014 citations